Principal Software Engineer - OpenShift AI Observability

We are looking for a Software Engineer with Kubernetes and MLOps (Machine Learning Operations) experience to join our rapidly growing engineering team. Our focus is to create a platform, partner ecosystem, and community by which enterprise customers can solve problems to accelerate business success using AI. This is a very exciting opportunity to build and impact the next generation of hybrid cloud MLOps platforms, contribute to the development of the RHOAI product, participate in open source communities, and be at the forefront of the exciting evolution of AI. Youll join an ecosystem that fosters continuous learning, career growth, and professional development.

As a core developer for one of our OpenShift AI teams, you will have the opportunity to actively participate in one of our component teams as well as the affiliated open-source communities. You will work as part of an evolving development team to rapidly design, secure, build, test, and release new capabilities. The role is

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What you will bring:

Advanced experience developing applications in Go or Python, or other language.

Advanced experience in Kubernetes, OpenShift or other cloud-native technologies.

Ability to quickly learn and guide others on using new tools and technologies.

Experience with source code management tools such as Git.

Proven ability to innovate and a passion for staying at the forefront of technology.

Excellent system understanding and troubleshooting capabilities.

Autonomous work ethic, thriving in a dynamic, fast-paced environment.

Technical leadership acumen in a global team environment.

Excellent written and verbal communication skills.

The following will be considered a plus:

Masters degree or higher in computer science, machine learning, or related discipline.

Understanding of how Open Source and Free Software communities work.

Experience with development for public cloud services (AWS, GCE, Azure).

Experience working with or deploying MLOps platforms. המשרה מיועדת